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Data Engineer II - (Remote)
Builds and maintains data pipelines for a sports betting and gaming platform using Python, Airflow, Snowflake, and Databricks to ensure reliable data delivery for business decisions.
Data Scientist Google ADK
Designs and deploys large-scale experiments for retail clients, develops measurement methodologies, and conducts deep-dive analyses to guide business decisions using statistical modeling, Python/R, and SQL.
Data Platform Engineer
Build and own Owner’s data platform—designing scalable pipelines, transforming raw data into trusted analytics, and enabling AI-driven decision-making for local businesses.
Sr. Workforce Data Analyst
A senior data analyst who builds, maintains, and automates workforce data workflows, including modeling, integration, and governance for HR/payroll systems.
Senior Data Engineer – Cloud-Native Pipelines Snowflake AWS
Builds and maintains scalable cloud-native data pipelines in Snowflake/AWS, focusing on ETL/ELT, data modeling, and quality for a 6-month contract role.
Azure Data Engineer Lead — SQL Server to Managed Instance Migration
Lead the migration of a legacy SQL Server system to Azure SQL Managed Instance, designing ETL pipelines and ensuring data integrity during cutover.
Senior Data Engineer — AI-Driven Insurance Data
Builds and optimizes data pipelines and AI-driven operations for RBC’s insurance systems, ensuring data quality, regulatory compliance, and system reliability using Spark, ETL tools, and SQL.
Senior Data Engineer — ETL, SQL & SSIS Expert
Designs, develops, and maintains SQL Server objects and ETL workflows to ensure data integrity across file-processing and integration tasks, collaborating with offshore teams.
Data Engineer (3 temporary full-time positions available) (Temporary, Full-Time)
Build and maintain data pipelines and ETL processes for a Canadian health and travel insurance provider using Azure tools, SQL, and database best practices.
Senior Data Engineer — ETL Pipelines & AI-Ready Data
Builds and maintains ETL/ELT pipelines for large-scale financial data in fintech, using SQL/Python and cloud tools like Snowflake, Databricks, AWS, Azure, and GCP.
Data Engineer (3 temporary full-time positions available)
Builds and maintains data pipelines, database architectures, and ETL processes for a healthcare insurance provider, focusing on Azure-based data integration, SQL scripting, and improving data reliability for internal systems and business stakeholders.
IS Data Engineering Student
A student builds and maintains data pipelines (ETL/ELT) using Databricks (PySpark, SQL, Delta Lake) to extract, transform, and load data for analytics and reporting, collaborating with data scientists and analysts to deliver scalable solutions.
Senior Developer, Data Engineering – 6 Months Contract
Leads data stack modernization by migrating SQL Server models to Snowflake/AWS cloud, building scalable ELT pipelines with Python, Airflow, and DBT, ensuring data quality, and collaborating with stakeholders to deliver analytics solutions.
Hybrid Cloud & Data Engineer - Junior to Mid
Builds and maintains data pipelines/ETL systems in a hybrid cloud environment using Microsoft Fabric, Power BI, and data lakes, under supervision of senior architects.
Data Engineer
Design and build scalable data pipelines and platforms using Azure Fabric, Databricks, and Snowflake to support analytics and decision-making for global clients.
Senior Data Engineer
Leads the migration of a legacy SQL Server estate to Azure SQL Managed Instance, designs robust ETL pipelines for Power BI, and ensures data integrity during cutover.
Snr Data engineer
Builds and maintains a finance data platform using Databricks, Airflow, and Spark to ingest, process, and analyze financial datasets (trades, ledgers, reference data) for reporting and analytics.
Lead Data Engineer
Lead the design and hands-on build of RBC’s AWS-based AML data platform using Snowflake, Spark, and dbt, mentoring engineers and owning medallion pipelines, IaC, and security.
Junior to Intermediate Data Engineer
Build and maintain data pipelines using SQL, Python, and Microsoft Fabric to power analytics and AI solutions for clients in a hybrid cloud environment.